The Quadro K6000 Graphics Card from PNY Technologies is a professional computer graphics card for applications that require or benefit from dedicated GPU processing power. It features driver and API support for Windows as well as many Linux and Solaris distributions.
Alongside the GPU, the K6000 features 12GB of DDR5 RAM and a 384-bit memory interface, which work together to move data to and from the GPU as efficiently, and with as little latency, as possible. In addition, 2880 CUDA cores (stream processors) allow the card to perform hundreds of computations simultaneously when interacting with APIs that support parallel processing.
The K6000 can be connected to a variety of display types, including computer monitors, HDTVs, broadcast video monitors, projectors, as well as 4K and 3D displays. It features a dual-link DVI-I (digital and analog) port, a dual-link DVI-D (digital only) port, and two DisplayPort ports with DP 1.2 support. Through DisplayPort in can drive displays up to 4K (4096 x 2160) resolution at up to 60 Hz and can drive digital displays through dual-link DVI at up to 2560 x 1600 resolution at up to 60 Hz. In addition, it supports professional 3D displays, and features a stereo connector that will provide synchronization for certain types of active 3D glasses.
For extended desktops, multi-view applications, immersive gaming, and other multi-monitor arrangements, up to four displays can be connected concurrently to one card. For video walls and other larger multi-display setups, up to four K6000s can be installed in one workstation, allowing a single computer to manage a total of 16 displays.
In addition to driving displays, the card features broad API support including CUDA, OpenCL, DirectX 11.2, Shader Model 5.0, and OpenGL 4.3, allowing it to provide GPU acceleration for a growing number of GPU-aware applications. Applications that benefit from GPU acceleration include video editing, 3D animation, CAD, computer modeling, cryptography, complex mathematical computations, and any other applications involving calculations that GPU architecture is more efficient at processing than the CPU. The card can be even used as a standalone parallel processing solution when installed alongside an existing graphics card.